Big Data Manual QA

1. Write and run test scripts for data pipelines
2. Validate ETL jobs using Azure tools (ADF,Synapse)
3. Perform smoke,functional,regression testing
4. Use SQL and PySpark for data validation
5. Update tests with workflow changes
6. Ensure data quality and integrity
7. Share test results with teams
8. Track progress,report blockers

Overview

• Industry - IT - INFORMATION TECHNOLOGY , STATISTICS / ANALYTICS / ACTURIAL SCIENCE / DATA MANAGEMENT FIRMS
• Functional Area - Data Analytics & Business Intelligence / Statistics, IT Software Programming / Analysis / Quality / Testing / Training
• Job Role - QA Performance Testing Engineer, Data Quality Engineer
• Employment type - Full Time - Permanent
• Work Mode - In Office

Qualifications

• Any Graduate - Any Specialization
• Any Post Graduate - Any Specialization
• Any Doctorate - Any Specialization

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